As part of the standard reduction, PypeIt generates a series of Quality Assurance (QA) files. This document describes the typical outputs, in the typical order that they appear.
The basic arrangement is that individual PNG files are created and then a set of HTML files are generated to organize viewing of the PNGs.
When the code completes (or crashes out), a set of
HTML files are generated in the
QA/ folder. There
is one HTML file per calibration frame set and one
HTML file per science exposure. Example names are
Open in your browser and have at ‘em. Quick links are provided to allow one to jump between the various files.
The first QA PNG files generated are related to calibration processing. There is a unique one generated for each setup and detector and (possibly) calibration set.
Generally, the title describes the type of QA and the sub-title indicates the user who ran PypeIt and the date of the processing.
Wavelength Fit QA
PypeIt produces plots like the one below showing the result of the wavelength calibration.
See WaveCalib for more discussion of this QA.
Wavelength Tilts QA
PypeIt produces plots like the one below showing the result of tracing the tilts in the wavelength as a function of spatial position within the slits.
See Tilts for more discussion of this QA.
For each processed, science exposure there are a series of PNGs generated, per detector and (sometimes) per slit.
If a flexure correction was performed (default), the fit to the correlation lags per object is shown and the adopted shift is listed. Here is an example:
There is then a plot showing several sky lines for the analysis of a single object (brightest) from the data compared against an archived sky spectrum. These should coincide well in wavelength. Here is an example: